StatQuant: A post-quantification analysis toolbox for improving quantitative mass spectrometry

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

Motivation: Mass spectrometric protein quantitation has emerged as a high-throughput tool to yield large amounts of data on peptide and protein abundances. Currently, differential abundance data can be calculated from peptide intensity ratios by several automated quantitation software packages available. There is, however, still a great need for additional processing to validate and refine the quantitation results. Here, we present a software tool, termed StatQuant, that offers a set of statistical tools to process, filter, compare and represent data from several quantitative proteomics software packages such as MSQuant. StatQuant offers the researcher post-processing methods to achieve improved confidence on the obtained protein ratios. © The Author 2009. Published by Oxford University Press. All rights reserved.
Original languageEnglish
Pages (from-to)1472-1473
Number of pages2
JournalBioinformatics
Volume25
Issue number11
DOIs
Publication statusPublished - 1 Jun 2009

Keywords

  • peptide
  • protein
  • analytic method
  • article
  • automation
  • software
  • high throughput screening
  • mass spectrometry
  • priority journal
  • protein analysis
  • proteomics
  • statistical analysis

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